Technology
mysql-vector
MySQL-Vector integrates native vector data storage (VECTOR type) and similarity search functions into the MySQL 9.3+ relational database engine.
This technology is the native `VECTOR` data type and associated functions introduced in MySQL 9.3. It allows developers to store high-dimensional numerical embeddings directly in a relational table, eliminating the need for a separate vector database. The `VECTOR(N)` type stores up to 16,383 single-precision (4-byte) floating-point values. Key functions like `DISTANCE()` enable efficient similarity search (e.g., COSINE, DOT, EUCLIDEAN metrics), directly supporting GenAI applications like Retrieval-Augmented Generation (RAG) and semantic search within the familiar MySQL ecosystem.
What builders pair with mysql-vector
Projects using both technologies. Select a pairing to see a project.
Pairing: Laravel
Live AI chatbots and Vector Search with Laravel, Vue.js, and MySQL
Pairing: MySQL
Live AI chatbots and Vector Search with Laravel, Vue.js, and MySQL
Pairing: PHP
Live AI chatbots and Vector Search with Laravel, Vue.js, and MySQL
Pairing: Vue
Live AI chatbots and Vector Search with Laravel, Vue.js, and MySQL
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